US 11,915,217 B2
Self-checkout anti-theft vehicle systems and methods
Lin Gao, Syosset, NY (US); Yilin Huang, Fuzhou (CN); Shiyuan Yang, Hangzhou (CN); and Ahmed Beshry, Calgary (CA)
Assigned to Maplebear Inc., San Francisco, CA (US)
Filed by Maplebear Inc., San Francisco, CA (US)
Filed on Dec. 21, 2020, as Appl. No. 17/129,437.
Application 17/129,437 is a continuation of application No. 15/956,159, filed on Apr. 18, 2018, abandoned.
Claims priority of provisional application 62/537,140, filed on Jul. 26, 2017.
Prior Publication US 2021/0133714 A1, May 6, 2021
Int. Cl. G06Q 20/18 (2012.01); G06N 3/08 (2023.01); G06Q 20/40 (2012.01); G06K 7/10 (2006.01); G06K 7/14 (2006.01); G07G 1/14 (2006.01); G06N 5/022 (2023.01); G07G 1/00 (2006.01); G06Q 20/20 (2012.01); B62B 3/14 (2006.01); G07G 3/00 (2006.01); G06N 3/042 (2023.01); G06N 3/045 (2023.01); G06N 3/044 (2023.01); G06N 5/01 (2023.01)
CPC G06Q 20/18 (2013.01) [B62B 3/1412 (2013.01); B62B 3/1428 (2013.01); G06K 7/10722 (2013.01); G06K 7/1417 (2013.01); G06N 3/042 (2023.01); G06N 3/045 (2023.01); G06N 3/08 (2013.01); G06N 5/022 (2013.01); G06Q 20/202 (2013.01); G06Q 20/204 (2013.01); G06Q 20/208 (2013.01); G06Q 20/401 (2013.01); G07G 1/009 (2013.01); G07G 1/0036 (2013.01); G07G 1/0081 (2013.01); G07G 1/14 (2013.01); G07G 3/003 (2013.01); B62B 2203/50 (2013.01); G06N 3/044 (2023.01); G06N 5/01 (2023.01)] 20 Claims
OG exemplary drawing
 
1. A self-checkout anti-theft vehicle system, comprising:
a self-checkout vehicle having a plurality of sensors and components implemented thereon, the self-checkout vehicle being used by shoppers for storing selected merchandises in a retail environment; and
a centralized computing device configured to:
receive a set of signals from the plurality of sensors of the self-checkout vehicle, wherein the set of signals describe a motion of merchandise placed into a storage area of the self-checkout vehicle;
identify a location and a motion of the merchandise within the storage area based on a triangulation of the set of signals;
obtain information related to the merchandise placed into the self-checkout vehicle by a shopper by exchanging data with the plurality of sensors and components via a first communication network, wherein obtaining information related to the merchandise comprises capturing one or more images of the merchandise through a camera of the self-checkout vehicle;
identify the merchandise via a second, different communication network by applying an image recognition neural network to the one or more captured images of the merchandise and the identified location of the merchandise in the self-checkout vehicle; and
process payment information of each merchandise.